Very nice! This could indirectly be used to create DAG DSLs in languages
other than Python. But perhaps there already is a way for someone to tap
into the DAG model and program it in, say, Ruby or Scala or Perl...
On Fri, Jul 28, 2017 at 8:21 PM, Alexander Shorin <kxe...@gmail.com> wrote:
> Hi everyone!
> Yesterday we released airflow-declarative project which allows you
> define DAGs declaratively via YAML.
> - Declarative DAGs in plain text YAML helps a lot to understand how
> DAG will looks like. Made for humans, not programmers.
> - It makes extremely hard to turn your DAGs into code mess. Even if
> you make complicated YAMLs generator the result would be readable for
> - No more guilty about coupling business logic with task management
> system (Airflow). They now could coexists separated.
> - Static analysis becomes a trivial task.
> - It's a good abstraction to create your own scheduler/worker
> compatible with original Airflow one.
> You can check for examples here:
> Any feedback is welcome!
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